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. 2021 Feb 25;17(2):e1008720. doi: 10.1371/journal.pcbi.1008720

Fig 1. Overview of between-cancer type differences of MEK inhibitor response and expression patterns in the Klijn 2015 and Cancer Cell Line Encyclopedia datasets.

Fig 1

(A) Overlap in cell lines with drug response and RNA expression and DNA variant data. (B) Counts of tumor cell lines with MEKi response data for 10 shared cancer types (n ≥15 in both datasets). (C) Proportion of MEKi-sensitive cell lines stratified by tissue. Cell lines were considered sensitive based on a threshold of IC50 ≤ 1 nM. P-values from χ2 test of independence of sensitive vs. resistant cell line proportions across the 10 tissues. (D) Variability in the response to the MEK small molecule inhibitors. Left: Heatmap of MEKi response in log(IC50) for four data series (in rows). Each column corresponds to a single cell line with drug response data for both MEKi in both datasets; columns were hierarchically clustered. Right: Rank correlation of log(IC50) among the four data series in the left panel. (E) Scatterplots of the first two dimensions from t-distributed stochastic neighbor embedding (t-SNE) analysis on transcriptome data. Each point represents a cell line and is colored by dataset (left) and tissue-of-origin (right).